26TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY & NUCLEAR PHYSICS (CHEP2023)

Deploying the ATLAS Metadata Interface (AMI) stack in a Docker Compose or Kubernetes environment.

Not scheduled

1h

Hampton Roads Ballroom and Foyer Area (Norfolk Waterside Marriott)

Poster Poster Poster Session

Speakers

Mr Lambert, Fabian (CNRS/LPSC)Dr Odier, Jérôme (CNRS/LPSC)

Description

ATLAS Metadata Interface (AMI) is a generic ecosystem for metadata aggregation, transformation and cataloging. Benefiting from more than 20 years of feedback in the LHC context, the second major version was released in 2018. This poster describes how a renewed architecture and integration with modern technologies ease the usage and deployment of a complete AMI stack. It describes how to deploy AMI in a Docker Compose or Kubernetes environment, gives a particular focus to the registration of existing databases, the adding of additional metadata sources and the generation of high level Web search interfaces using dedicated wizards. Finally, this poster shows how to extend AMI by writing server-side Java commands, tasks and client-side Web applications.

Presentation materials

ATL-COM-SOFT-2023-031.pdf

Peer reviewing

Paper

Accepted on Feb 29, 2024 by Oksana Shadura

CHEP2023_AMI_Docker-1.pdf